TY - JOUR
T1 - Determinants of gait dystonia severity in cerebral palsy
AU - Aravamuthan, Bhooma R.
AU - Pearson, Toni S.
AU - Ueda, Keisuke
AU - Miao, Hanyang
AU - Zerafati-Jahromi, Gazelle
AU - Gilbert, Laura
AU - Comella, Cynthia
AU - Perlmutter, Joel S.
N1 - Funding Information:
JSP receives support from NIH (NINDS, National Center for Advancing Translational Sciences, National Institute on Aging) grant nos. NS075321, NS103957, NS107281, U54 NS116025, and NS124789, the American Parkinson Disease Association Advanced Research Center for Parkinson Disease at Washington University in St Louis, the Greater St Louis Chapter of the American Parkinson Disease Association, the Barnes Jewish Hospital Foundation (Elliot Stein Family Fund and Parkinson Disease Research Fund), the Fixel Foundation, the Paula & Rodger Riney Foundation, the N Grant Williams Foundation, and the Murphy Fund.
Funding Information:
TSP receives support from the NIH (NINDS no. NS094292) and is a consultant for Teva Pharmaceuticals. KU, HM, GZ‐J, and LG report no disclosures.
Funding Information:
BRA receives support from the National Institutes of Health (NIH) (National Institute of Neurological Disorders and Stroke [NINDS] no. 1K08NS117850‐01A1), serves on the editorial board of , is a consultant for Neurocrine Biosciences, and receives royalties from UpToDate. Pediatric Neurology
Publisher Copyright:
© 2023 Mac Keith Press.
PY - 2023/7
Y1 - 2023/7
N2 - Aim: To determine the movement features governing expert assessment of gait dystonia severity in individuals with cerebral palsy (CP). Method: In this prospective cohort study, three movement disorder neurologists graded lower extremity dystonia severity in gait videos of individuals with CP using a 10-point Likert-like scale. Using conventional content analysis, we determined the features experts cited when grading dystonia severity. Then, using open-source pose estimation techniques, we determined gait variable analogs of these expert-cited features correlating with their assessments of dystonia severity. Results: Experts assessed videos from 116 participants (46 with dystonia aged 15 years [SD 3] and 70 without dystonia aged 15 years [SD 2], both groups ranging 10–20 years old and 50% male). Variable limb adduction was most commonly cited by experts when identifying dystonia, comprising 60% of expert statements. Effect on gait (regularity, stability, trajectory, speed) and dystonia amplitude were common features experts used to determine dystonia severity, comprising 19% and 13% of statements respectively. Gait variables assessing adduction variability and amplitude (inter-ankle distance variance and foot adduction amplitude) were significantly correlated with expert assessment of dystonia severity (multiple linear regression, p < 0.001). Interpretation: Adduction variability and amplitude are quantifiable gait features that correlate with expert-determined gait dystonia severity in individuals with CP. Consideration of these features could help optimize and standardize the clinical assessment of gait dystonia severity in individuals with CP.
AB - Aim: To determine the movement features governing expert assessment of gait dystonia severity in individuals with cerebral palsy (CP). Method: In this prospective cohort study, three movement disorder neurologists graded lower extremity dystonia severity in gait videos of individuals with CP using a 10-point Likert-like scale. Using conventional content analysis, we determined the features experts cited when grading dystonia severity. Then, using open-source pose estimation techniques, we determined gait variable analogs of these expert-cited features correlating with their assessments of dystonia severity. Results: Experts assessed videos from 116 participants (46 with dystonia aged 15 years [SD 3] and 70 without dystonia aged 15 years [SD 2], both groups ranging 10–20 years old and 50% male). Variable limb adduction was most commonly cited by experts when identifying dystonia, comprising 60% of expert statements. Effect on gait (regularity, stability, trajectory, speed) and dystonia amplitude were common features experts used to determine dystonia severity, comprising 19% and 13% of statements respectively. Gait variables assessing adduction variability and amplitude (inter-ankle distance variance and foot adduction amplitude) were significantly correlated with expert assessment of dystonia severity (multiple linear regression, p < 0.001). Interpretation: Adduction variability and amplitude are quantifiable gait features that correlate with expert-determined gait dystonia severity in individuals with CP. Consideration of these features could help optimize and standardize the clinical assessment of gait dystonia severity in individuals with CP.
UR - http://www.scopus.com/inward/record.url?scp=85147264829&partnerID=8YFLogxK
U2 - 10.1111/dmcn.15524
DO - 10.1111/dmcn.15524
M3 - Article
C2 - 36701240
AN - SCOPUS:85147264829
SN - 0012-1622
VL - 65
SP - 968
EP - 977
JO - Developmental Medicine and Child Neurology
JF - Developmental Medicine and Child Neurology
IS - 7
ER -